shadow-cann/hispark-modelzoo-yolov4

YOLOv4

YOLOv4 是一种高性能的 one-stage 目标检测模型。相比 YOLOv3，YOLOv4 采用了 CSPDarknet53 作为 backbone 进行特征提取，该网络结合了跨金字塔池化结构和路径聚合网络，在精度和速度上均有显著提升。

Mirror Metadata

• Hugging Face repo: shadow-cann/hispark-modelzoo-yolov4
• Portal model id: i9ivuh3hec00
• Created at: 2025-12-25 17:01:53
• Updated at: 2025-12-30 21:27:13
• Category: 计算机视觉

Framework

• PyTorch

Supported OS

• OpenHarmony
• Linux

Computing Power

• Hi3403V100 SVP_NNN
• Hi3403V100 NNN

Tags

• 目标检测

Detail Parameters

• 输入: 608x608
• 参数量: 64.330M
• 计算量: 157.842GFLOPs

Files In This Repo

• yolov4.pth (源模型 / 源模型下载; 源模型 / 源模型元数据)
• yolov4.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
• SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)

Upstream Links

• Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=i9ivuh3hec00
• Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/detection/yolov4
• License reference: https://github.com/Tianxiaomo/pytorch-YOLOv4/blob/master/License.txt

Notes

• This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
• File ownership follows the portal card mapping, not just filename similarity.
• Cover image: 1712131749773315_yolov4.jpg